Evaluating the Spatial Effect of the Contribution of Different Types of Land Use in the Occurrence of Crashes

Document Type : Research Paper

Authors

1 Ph.D. Candidate, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Assistant Professor, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Professor, Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

Abstract

The type of land use in each traffic area zone (TAZ) is the most important factor determining the number of vehicles, geometric and traffic characteristics in that zone. Any factor in the urban environment that causes congestion and attraction of vehicles at certain times increases the probability of a crash in that area. The purpose of this study is to investigate the effect of the share of different types of uses in various traffic areas of Shiraz city on the probability of a crash. A two-step method, including identifying the types of uses influencing the occurrence of crashes and spatial effects between independent variables and crash data in space Kernel density estimate (KDE) methods, has also been used to find the suitable bandwidth for searching observations. In order to investigate the spatial effects of land use types on crash incidence, geographically weighted regressions (GWRs) and geographically weighted Poisson regressions (GWPRs) were used. Based on the validation criteria, the local GWPR model performs better than the global Poisson model and the local GWR model among the mentioned models .Additionally, the presence of residential, commercial, barren, and abandoned uses, as well as the mixing of residential and non-residential uses, significantly impact crashes. Examining the spatial effects of land use types in this study's traffic areas can be very important in carrying out safety measures.

Keywords

References

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International Journal of Transportation Engineering
Volume 11, Issue 2 - Serial Number 42
October 2023
Pages 1457-1470

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